| dc.contributor | 資科系 | |
| dc.creator (作者) | Liu, Chao-lin;Wellman, Michael P. | |
| dc.creator (作者) | 劉昭麟 | zh_TW |
| dc.date (日期) | 1998 | |
| dc.date.accessioned | 17-Jun-2015 15:08:16 (UTC+8) | - |
| dc.date.available | 17-Jun-2015 15:08:16 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Jun-2015 15:08:16 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75888 | - |
| dc.description.abstract (摘要) | Qualitative probabilistic reasoning in a Bayesian net- work often reveals tradeoffs: relationships that are ambiguous due to competing qualitative influences. We present two techniques that combine qualitative and numeric probabilistic reasoning to resolve such tradeoffs, inferring the qualitative relationship be- tween nodes in a Bayesian network. The first approach incrementally marginalizes nodes in network, and the second incrementally refines the state spaces of ran- dom variables. Both provide systematic methods for tradeoff resolution at potentially lower computational cost than application of purely numeric methods. | |
| dc.format.extent | 669252 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Uncertainty in Artificial Intelligence - UAI , pp. 338-345 | |
| dc.title (題名) | Incremental Tradeoff Resolution in Qualitative Probabilistic Networks | |
| dc.type (資料類型) | article | en |
